... projections data for the United States and globally. This site provides several capabilities to the users:
1) The list of portals and ... the table allows the users to access a summary information site for each portal. The summary information site contains more detailed ...

Changes to soil freezing dynamics with climate change can modify ecosystem carbon and nutrient losses. Soil freezing is influenced strongly by both air temperature and insulation by the snowpack, and it has been hypothesized that winter climate warming may lead to increased soil freezing as a result of reduced snowpack thickness. I used weather station data to explore the relationships between winter air temperature, precipitation and soil freezing for 31 sites in Canada, ranging from the temperate zone to the high Arctic.

Based on satellite-derived global snow cover data on weekly time scales, the climatology and interannual variability of snow onset day-of-year, snowmelt day-of-year and number of snow-free days in a year are presented. Trends for snow onset day-of-year, snowmelt day-of-year and number of snow-free days in a year indicate that there has been an increase in number of snow-free days in recent decades. The relationship between snow cover and the Arctic oscillation (AO) index is examined on a hierarchy of time scales using lagged correlation and composite analysis.

This is a quick glance at the CMIP5 BCCA downscaled climate projections. The downscaled projections are compared against the CMIP5 GCMs to gain a better understanding of the representation of uncertainty in both data sets. The projections are aggregated for the region surrounding Toronto, ON. The figure below shows a map of the region that the data represent.

Monthly exceedance probability (EP) curves are plotted for the CMIP5 data (RCP8.5) over the Great Lakes region. The black line represents the 1-degree Maurer et al. observations. The models show strong positive bias from February through May as represented by the observations falling on the far left of the model projections. There is a negative bias in the models during September as represented by the observations falling to the right of many of the projections.